Visual reconstruction
A dual approach to regularization in image restoration
Pattern Recognition Letters
Constrained Restoration and the Recovery of Discontinuities
IEEE Transactions on Pattern Analysis and Machine Intelligence
The use of the L-curve in the regularization of discrete ill-posed problems
SIAM Journal on Scientific Computing
A deterministic algorithm for reconstructing images with interacting discontinuities
CVGIP: Graphical Models and Image Processing
A Regularization Parameter in Discrete Ill-Posed Problems
SIAM Journal on Scientific Computing
A Color Image Restoration with Adjacent Parallel Lines Inhibition
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
IEEE Transactions on Image Processing
Markovian reconstruction using a GNC approach
IEEE Transactions on Image Processing
Adaptively regularized constrained total least-squares image restoration
IEEE Transactions on Image Processing
Roof-edge preserving image smoothing based on MRFs
IEEE Transactions on Image Processing
Convex Approximation Technique for Interacting Line Elements Deblurring: a New Approach
Journal of Mathematical Imaging and Vision
Hi-index | 0.00 |
The image restoration problem is a well known ill-posed inverse problem. Thus, to solve it some regularization techniques are necessary. By these techniques the solution of the problem is defined as the minimum of an energy function. This function is given by the sum of two terms: the first one is due to the data consistency condition, the second one is related to the a priori smoothness condition on the solution. A regularization parameter regulate the degree of strength of the two terms. A right estimation of this parameter is very important to obtain a correct image reconstruction.Dealing with an edge---preserving image reconstruction, another free parameter is introduced. This parameter controls the number of discontinuities presenting in the restored image. In this paper we deal with joint estimation of these two parameters, proposing a novel technique for a correct second order reconstruction.